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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-with-python-2022/
课程评论：没有评论
**Coursera 课程概述：Python 机器学习入门** 本课程旨在为对机器学习感兴趣的学习者提供基础知识。通过一系列实际示例，您将学习各种流行的机器学习方法，包括 K-NN、线性回归、SVM、K-Means 聚类和决策树。 课程重点在于通过简单的理论讲解、算法解释和 Python 代码实现来传授知识。讲师将避免使用复杂的数学符号和行话，力求使概念通俗易懂。每节课都会提供可供学习者实验和参考的 Python 代码以及笔记。 本课程侧重于实际理解和应用，而非深入的数学理论。您将学到在实际行业中数据科学家使用的基本技术，涵盖以下核心主题： * 线性回归 (Linear Regression) * K-近邻算法 (K-Nearest Neighbor) * 支持向量机 (Support Vector Machines) * K-Means 聚类 (K-Means Clustering) * 决策树 (Decision Tree) 此外，更新（2023年11月11日）中已添加了卷积神经网络 (Convolutional Neural Network) 讲座。 本课程认为这些基础知识是任何成功技术人员必不可少的，因此鼓励感兴趣的学习者立即报名。
Update(11/11/2023): Convolutional Neural Network Lecture in added.Are you interested in the field of machine learning? Then you have come to the right place and this course is exactly what you need! In this course, you will learn the basics of various popular machine learning approaches through several practical examples. Various machine learning algorithms such as K-NN, Linear Regression, SVM, K-Means Clustering, and Decision Tree will be explained and implemented in Python. In this course, I try to share my knowledge and teach you the basics of the theories, algorithms, and programming libraries in a simple way. I will guide you step by step on your journey into the world of machine learning.Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It's then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won't find academic, deeply mathematical coverage of these algorithms in this course - the focus is on practical understanding and application of them. This course will teach you the basic techniques used by real-world industry data scientists. I'll cover the fundamentals of machine learning techniques that are essential for real-world problems, including:Linear RegressionK-Nearest NeighborSupport Vector MachinesK-Means ClusteringDecision TreeThese are the basic topics any successful technologist absolutely needs to know about, so what are you waiting for? Enroll now!
